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A Contextualized Vocabulary Model for identifying technical debt on code comments.

, , , and . MTD@ICSME, page 25-32. IEEE Computer Society, (2015)

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A Study of Factors that Lead Development Teams to Incur Technical Debt in Software Projects., , , and . SEAA, page 429-436. IEEE Computer Society, (2018)A Prototype Experience Management System for a Software Consulting Organization., , , and . SEKE, page 29-36. (2001)A Strategy Based on Multiple Decision Criteria to Support Technical Debt Management., , , and . SEAA, page 334-341. IEEE Computer Society, (2017)Usando Medição de Código Fonte para Refactoring., and . JIISIC, page 223-231. (2002)The problem of conceptualization in god class detection: agreement, strategies and decision drivers., , , and . J. Softw. Eng. Res. Dev., (2014)A Contextualized Vocabulary Model for identifying technical debt on code comments., , , and . MTD@ICSME, page 25-32. IEEE Computer Society, (2015)Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary., , , and . Inf. Softw. Technol., (2020)Data Warehousing in an Industrial Software Development Environment., , and . SEW, page 131-135. IEEE Computer Society, (2009)Experimentally assessing the combination of multiple visualization strategies for software evolution analysis., , and . J. Syst. Softw., (2017)Supporting analysis of technical debt causes and effects with cross-company probabilistic cause-effect diagrams., , , and . TechDebt@ICSE, page 3-12. IEEE / ACM, (2019)